My Courses

For 50 years, the corporate course has been the default unit of professional learning. AI is now exposing why that was always the wrong call — and what accountants should know about what’s replacing it.

A peer-reviewed study of 34 finance professionals found that AI clutter hurts output quality 3x more than task complexity. Here’s what accountants need to know.

McKinsey and BCG both got hacked in 2026 — not by sophisticated attackers, but because AI-built tools shipped without a security review. Here’s what every finance manager needs to know.

The UK’s FRC issued the world’s first regulatory guidance on generative and agentic AI in audit. Here’s the risk taxonomy every accountant needs to know.

CFOs at the WSJ CFO Council Summit reported real, measurable AI returns in 2026 — here’s what the numbers mean for accountants and auditors.

Kalshi and Polymarket generated billions in 2025 trades. The IRS has issued zero guidance. Here’s how accountants should think about client reporting today.

Tokens are the fundamental unit powering every AI interaction — and the hidden driver of your AI costs. Here’s what every accountant needs to know.

Most AI productivity claims are built on flawed methodology — selection bias, self-reporting inflation, and Goodhart’s Law. Here’s how finance professionals can evaluate AI ROI with the same skepticism they apply to any KPI.

OpenAI and Anthropic are both forming joint ventures with PE firms to deploy AI across hundreds of portfolio companies at once. Here’s what it means for accountants and finance professionals.

Why data infrastructure — not AI tools — determines your AI ROI. Learn the three pillars every enterprise needs before deploying agents.